<p>您可以使用<code>pandas</code>将其转换为<a href="https://stackoverflow.com/a/20638258/2402281">parse the dict</a>,然后再转换为<a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.describe.html#pandas-dataframe-describe" rel="nofollow noreferrer">describe it to get stats</a></p>
<pre><code>import pandas as pd
lod = [{'points': 50, 'time': '5:00', 'year': 2010},
{'points': 25, 'time': '6:00', 'month': "february"},
{'points':90, 'time': '9:00', 'month': 'january'},
{'points_h1':20, 'month': 'june'}]
df = pd.DataFrame(lod)
print(df.describe(include=['float', 'object']))
'''
points time year month points_h1
count 3.000000 3 1.0 3 1.0
unique NaN 3 NaN 3 NaN
top NaN 9:00 NaN january NaN
freq NaN 1 NaN 1 NaN
mean 55.000000 NaN 2010.0 NaN 20.0
std 32.787193 NaN NaN NaN NaN
min 25.000000 NaN 2010.0 NaN 20.0
25% 37.500000 NaN 2010.0 NaN 20.0
50% 50.000000 NaN 2010.0 NaN 20.0
75% 70.000000 NaN 2010.0 NaN 20.0
max 90.000000 NaN 2010.0 NaN 20.0
'''
</code></pre>
<p>但是请注意,这不适用于嵌套字典!您需要使用<code>pip</code>安装<code>pandas</code></p>